Name: On the Demand for Telemedicine: Evidence from the COVID-19 Pandemic
General Info:	
Files descriptions: 
	Script: Code that generates figures and tables for this analysis 
	
	applemobilitytrends-2021-07-31.csv: Database containing information from the Apple Mobility of daily data about the volume of consumer request for trip directions compared to baseline volume on January 13th, 2020. This data is publicly available and updated through the apple website (https://covid19.apple.com/mobility) Report updated 2020-07-31. 
	
	Micro_Data.csv: Database containing administrative records of telemedicine calls received by 
	Llamando al Doctor for the period 2019-01-01 to 2020-12-31. This records contain information about:
	* When was the called received
	* What medical specialty attended the call
	* If the call resulted in a prescription being issued
	* demographic characteristics of the patient such as age, gender, and existence of pre-existing conditions. 
	
	Moovit_Data_6_21.csv: Data base containing daily data on the volume of direction requests for users of Moovit App compared to the baseline volume on 	January 13th, 2020. The data is publicly available through https://moovitapp.com/insights/en/Moovit_Insights_Public_Transit_Index-countries
	
	provider.csv: Data base containing daily data on the number of in-person and tele consultations for a health provider company in Argentina that uses the services provided by Llamando al Doctor. Data range: 2019-01-01 to 2020-12-31.
	
Setup:
Requiered: RStudioVersion 1.2.1335
Run: Script.R

Outputs:
	Installs and opens the packages needed to run the analysis
	Uploads the data to the environment  
	Table with descriptive statistics for calls in 2019 output: "Tab1_descriptives.tex"
	Figure with mobility data output: Fig1_Mobility.pdf
	Figures with Event Study analysis output: Fig2_calls.pdf and Fig2_callers.pdf
	Table with dif-dif estimations output: Tab2_DiD.tex
	Figures with heterogeneous effects of dif-dif especification output: Fig3_calls.pdf and Fig3_callers.pdf
	Table with results of regression using mobility data on main results output: Tab3_Mobility.tex
	Figure with time complete time series of tele consultations output: AppFig1_Calls.pdf and AppFig1_Callers.pdf
	Figures with Event Study analysis output using client fixed effects: AppFig2_calls.pdf and AppFig2_callers.pdf
	Figure with provider in-person and tele consultations output: AppFig4_Provider.pdf.pdf
	Table with results testing parallel trends for event study specification output: AppTab1_paralleltest
	Table with results of regression using mobility data on secondary results output: AppTab2_mobility.tex
	Table with descriptive statistics comparing sample with provider sample output: AppTab3_descriptives.tex